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Implementation of a Machine Learning Regression Algorithm for Energy Reconstruction of Neutrino-induced Particle Showers using a Scintillating Fibres Tracker at the SND@LHC
SHiP and SND@LHC are two burgeoning experiments, as part of CERN, designed to study novel neutrino and BSM physics. Machine Learning (ML) algorithms need to be developed to extract hit information detected by SciFi planes and reconstruct energies of particle showers generated within the Sampling Cal...
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| Lenguaje: | eng |
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2022
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| Acceso en línea: | http://cds.cern.ch/record/2803851 |